Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]
, 2011 We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven +5 more
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Cancelable ECG Biometrics Using Compressive Sensing-Generalized Likelihood Ratio Test
IEEE Access, 2019 Electrocardiogram (ECG) has been investigated as promising biometrics, but it cannot be canceled and re-used once compromised just like other biometrics.
Hanvit Kim, Se Young Chun
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A method for parameter hypothesis testing in nonparametric regression with Fourier series approach
MethodsX, 2023 Nonparametric regression model with the Fourier series approach was first introduced by Bilodeau in 1994. In the later years, several researchers developed a nonparametric regression model with the Fourier series approach.
Mustain Ramli +2 more
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Gaussian universal likelihood ratio testing
Biometrika, 2022 Summary The classical likelihood ratio test based on the asymptotic chi-squared distribution of the log-likelihood is one of the fundamental tools of statistical inference. A recent universal likelihood ratio test approach based on sample splitting provides valid hypothesis tests and confidence sets in any setting for which we can ...
Robin Dunn +3 more
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Diagnostic tests 4: likelihood ratios [PDF]
BMJ, 2004 The properties of a diagnostic or screening test are often described using sensitivity and specificity or predictive values, as described in previous Notes.1 2 Likelihood ratios are alternative statistics for summarising diagnostic accuracy, which have several particularly powerful properties that make them more useful clinically than other statistics ...
Deeks, J, Altman, D
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Power Analysis for the Multivariable Logistic Model Using the Likelihood Ratio Test [PDF]
The Egyptian Statistical Journal, 2003 An asymptotic approach for conducting power analysis is described for the multiple logistic regression model. It is based on the likelihood ratio test statistic.
Marwa Ahmed, Magued Osman, Sanaa Ismail
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Echo Cancellation : the generalized likelihood ratio test for double-talk vs. channel change [PDF]
, 2009 Echo cancellers are required in both electrical (impedance mismatch) and acoustic (speaker-microphone coupling) applications. One of the main design problems is the control logic for adaptation.
Bermudez, José Carlos Moreira +2 more
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Effective ellipse detector with polygonal curve and likelihood ratio test
IET Computer Vision, 2015 A robust ellipse detector is proposed. The detector preprocesses the edge map by removing all the isolated points and conjunction points, and exploits polygonal curve to extract the elliptical arcs.
Tingting Lu +3 more
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The Likelihood Ratio Test of Common Factors under Non-Ideal Conditions [PDF]
Investigaciones Regionales - Journal of Regional Research, 2011 The Spatial Durbin model occupies an interesting position in SpatialEconometrics. It is the reduced form of a model with cross-sectional dependencein the errors and it may be used as the nesting equation in a more general approachof model selection ...
Ana M. Angulo, Jesús Mur
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Generalized Correlation Coefficient Based on Log Likelihood Ratio Test Statistic
MATEC Web of Conferences, 2016 In this paper, I point out that both Joe’s and Ding’s strength statistics can only be used for testing the pair-wise independence, and I propose a novel G-square based strength statistic, called Liu’s generalized correlation coefficient, it can be used ...
Liu Hsiang-Chuan
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